| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Topeka Capitals | NA3HL | 45 | 10 | 17 | 27 | 0.600 | 0.0723 | 0.0706 | 0.1895 | 0.1851 |
| 2015-16 | Atlanta Capitals | NA3HL | 36 | 8 | 25 | 33 | 0.917 | 0.1105 | 0.1026 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Buffalo State | D3 | SUNYAC | SR | 25 | 1 | 6 | 7 | 0.280 |
| 2018-19 | Buffalo State | D3 | SUNYAC | JR | 26 | 4 | 4 | 8 | 0.308 |
| 2017-18 | Buffalo State | D3 | SUNYAC | SO | 25 | 2 | 3 | 5 | 0.200 |
| 2016-17 | Buffalo State | D3 | SUNYAC | FR | 19 | 2 | 6 | 8 | 0.421 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.